Pharmaceutical Service Scales Deliveries by 257% with Route4Me
Technology Category
- Analytics & Modeling - Machine Learning
- Robots - Wheeled Robots
Applicable Industries
- Education
- Pharmaceuticals
Applicable Functions
- Facility Management
- Logistics & Transportation
Use Cases
- Time Sensitive Networking
- Vehicle Telematics
Services
- Data Science Services
About The Customer
The University of Rochester Medical Center (URMC) is a major medical center located in Rochester, New York. It comprises the university’s primary medical, education, research, and patient care facilities. With over 33,000 employees, URMC is responsible for delivering pharmaceuticals to 8 major hospitals and the surrounding residential region of Rochester, NY. The delivery of these pharmaceuticals, many of which have a short shelf-life, is critical to the quality of care and patient outcomes at these facilities.
The Challenge
The University of Rochester Medical Center (URMC) faced several challenges in delivering pharmaceuticals to 8 major hospitals and the surrounding residential region of Rochester, NY. The large service area and critical stop requirements made manual route planning time-consuming and inefficient. The situation was further complicated by the short shelf-life of many drugs, including chemotherapy drugs, which needed to be delivered to other facilities without expiring. Any delay in delivery could have serious implications for quality of care and patient outcomes. Additionally, as the number of stops per route increased, the complexity of the route also increased exponentially, making it harder to create efficient routes. Previous attempts to use other routing solutions from big name carriers to smaller providers proved unsuccessful as they were unable to handle the number of stops or factor in the necessary routing constraints.
The Solution
URMC turned to Route4Me, a route optimization solution introduced by Fleetistics. Route4Me's solution included route optimization, mobile app dispatch, and planned vs. actual reporting. The route optimization feature significantly reduced the time spent planning routes, from an average of 3 hours per day to just 20 to 30 minutes. The mobile app dispatch ensured on-time delivery of critical drugs with short shelf-lives, thereby improving patient outcomes, care, and satisfaction. The planned vs. actual reporting feature allowed URMC to better utilize its resources and efficiently scale the number of daily deliveries.
Operational Impact
Quantitative Benefit
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